Sample trimmed logistic on [-pi, pi]

Percentage Accurate: 99.0% → 99.0%
Time: 22.8s
Alternatives: 17
Speedup: 0.5×

Specification

?
\[\left(2.328306437 \cdot 10^{-10} \leq u \land u \leq 1\right) \land \left(0 \leq s \land s \leq 1.0651631\right)\]
\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\\ \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - t\_0\right) + t\_0} - 1\right) \end{array} \end{array} \]
(FPCore (u s)
 :precision binary32
 (let* ((t_0 (/ 1.0 (+ 1.0 (exp (/ (PI) s))))))
   (*
    (- s)
    (log
     (-
      (/ 1.0 (+ (* u (- (/ 1.0 (+ 1.0 (exp (/ (- (PI)) s)))) t_0)) t_0))
      1.0)))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\\
\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - t\_0\right) + t\_0} - 1\right)
\end{array}
\end{array}

Sampling outcomes in binary32 precision:

Local Percentage Accuracy vs ?

The average percentage accuracy by input value. Horizontal axis shows value of an input variable; the variable is choosen in the title. Vertical axis is accuracy; higher is better. Red represent the original program, while blue represents Herbie's suggestion. These can be toggled with buttons below the plot. The line is an average while dots represent individual samples.

Accuracy vs Speed?

Herbie found 17 alternatives:

AlternativeAccuracySpeedup
The accuracy (vertical axis) and speed (horizontal axis) of each alternatives. Up and to the right is better. The red square shows the initial program, and each blue circle shows an alternative.The line shows the best available speed-accuracy tradeoffs.

Initial Program: 99.0% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\\ \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - t\_0\right) + t\_0} - 1\right) \end{array} \end{array} \]
(FPCore (u s)
 :precision binary32
 (let* ((t_0 (/ 1.0 (+ 1.0 (exp (/ (PI) s))))))
   (*
    (- s)
    (log
     (-
      (/ 1.0 (+ (* u (- (/ 1.0 (+ 1.0 (exp (/ (- (PI)) s)))) t_0)) t_0))
      1.0)))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\\
\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - t\_0\right) + t\_0} - 1\right)
\end{array}
\end{array}

Alternative 1: 99.0% accurate, 0.3× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := e^{\frac{\mathsf{PI}\left(\right)}{s}}\\ t_1 := \left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{u}{-1 - t\_0}\right) + \frac{1}{1 + t\_0}\\ \left(-s\right) \cdot \log \left(\frac{{t\_1}^{-3} + -1}{{t\_1}^{-2} + \left(1 + \frac{1}{t\_1}\right)}\right) \end{array} \end{array} \]
(FPCore (u s)
 :precision binary32
 (let* ((t_0 (exp (/ (PI) s)))
        (t_1
         (+
          (+ (/ u (+ 1.0 (exp (/ (PI) (- s))))) (/ u (- -1.0 t_0)))
          (/ 1.0 (+ 1.0 t_0)))))
   (*
    (- s)
    (log (/ (+ (pow t_1 -3.0) -1.0) (+ (pow t_1 -2.0) (+ 1.0 (/ 1.0 t_1))))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := e^{\frac{\mathsf{PI}\left(\right)}{s}}\\
t_1 := \left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{u}{-1 - t\_0}\right) + \frac{1}{1 + t\_0}\\
\left(-s\right) \cdot \log \left(\frac{{t\_1}^{-3} + -1}{{t\_1}^{-2} + \left(1 + \frac{1}{t\_1}\right)}\right)
\end{array}
\end{array}
Derivation
  1. Initial program 99.0%

    \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  2. Add Preprocessing
  3. Applied rewrites98.9%

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{\frac{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{2} + \frac{\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} - u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}}{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{3} + {\left(1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)}^{-3}}}}} - 1\right) \]
  4. Applied rewrites99.0%

    \[\leadsto \left(-s\right) \cdot \log \left(\color{blue}{\frac{1}{{\left(\frac{-u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} + \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}}\right)}^{3} + {\left(1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)}^{-3}} \cdot \left({\left(\frac{-u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} + \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}}\right)}^{2} + \frac{\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} - \left(\frac{-u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} + \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}}\right)}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)} - 1\right) \]
  5. Applied rewrites99.0%

    \[\leadsto \left(-s\right) \cdot \log \color{blue}{\left(\frac{{\left(\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} - \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}^{-3} + -1}{{\left(\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} - \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}^{-2} + \left(1 + \frac{1}{\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} - \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}}\right)}\right)} \]
  6. Final simplification99.0%

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{{\left(\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{u}{-1 - e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}^{-3} + -1}{{\left(\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{u}{-1 - e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}^{-2} + \left(1 + \frac{1}{\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{u}{-1 - e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}}\right)}\right) \]
  7. Add Preprocessing

Alternative 2: 99.0% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{u + -1}{-1 - e^{\frac{\mathsf{PI}\left(\right)}{s}}}\\ \left(-s\right) \cdot \log \left(\frac{-1 + {t\_0}^{-3}}{\frac{1}{t\_0} + \left(1 + {t\_0}^{-2}\right)}\right) \end{array} \end{array} \]
(FPCore (u s)
 :precision binary32
 (let* ((t_0
         (+
          (/ u (+ 1.0 (exp (/ (PI) (- s)))))
          (/ (+ u -1.0) (- -1.0 (exp (/ (PI) s)))))))
   (*
    (- s)
    (log (/ (+ -1.0 (pow t_0 -3.0)) (+ (/ 1.0 t_0) (+ 1.0 (pow t_0 -2.0))))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{u + -1}{-1 - e^{\frac{\mathsf{PI}\left(\right)}{s}}}\\
\left(-s\right) \cdot \log \left(\frac{-1 + {t\_0}^{-3}}{\frac{1}{t\_0} + \left(1 + {t\_0}^{-2}\right)}\right)
\end{array}
\end{array}
Derivation
  1. Initial program 99.0%

    \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  2. Add Preprocessing
  3. Applied rewrites98.9%

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{\frac{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{2} + \frac{\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} - u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}}{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{3} + {\left(1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)}^{-3}}}}} - 1\right) \]
  4. Applied rewrites99.0%

    \[\leadsto \left(-s\right) \cdot \log \left(\color{blue}{\frac{1}{{\left(\frac{-u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} + \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}}\right)}^{3} + {\left(1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)}^{-3}} \cdot \left({\left(\frac{-u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} + \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}}\right)}^{2} + \frac{\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} - \left(\frac{-u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} + \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}}\right)}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)} - 1\right) \]
  5. Applied rewrites99.0%

    \[\leadsto \left(-s\right) \cdot \log \color{blue}{\left(\frac{{\left(\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} - \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}^{-3} + -1}{{\left(\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} - \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}^{-2} + \left(1 + \frac{1}{\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} - \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}}\right)}\right)} \]
  6. Applied rewrites99.0%

    \[\leadsto \color{blue}{\left(-s\right) \cdot \log \left(\frac{{\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} - \frac{u - 1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}^{-3} + -1}{\frac{1}{\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} - \frac{u - 1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} + \left(1 + {\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} - \frac{u - 1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}^{-2}\right)}\right)} \]
  7. Final simplification99.0%

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{-1 + {\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{u + -1}{-1 - e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}^{-3}}{\frac{1}{\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{u + -1}{-1 - e^{\frac{\mathsf{PI}\left(\right)}{s}}}} + \left(1 + {\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{u + -1}{-1 - e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}^{-2}\right)}\right) \]
  8. Add Preprocessing

Alternative 3: 99.0% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := e^{\frac{\mathsf{PI}\left(\right)}{s}}\\ t_1 := \left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{u}{-1 - t\_0}\right) + \frac{1}{1 + t\_0}\\ \left(-s\right) \cdot \log \left(\frac{-1 + {t\_1}^{-2}}{\frac{1}{t\_1} - -1}\right) \end{array} \end{array} \]
(FPCore (u s)
 :precision binary32
 (let* ((t_0 (exp (/ (PI) s)))
        (t_1
         (+
          (+ (/ u (+ 1.0 (exp (/ (PI) (- s))))) (/ u (- -1.0 t_0)))
          (/ 1.0 (+ 1.0 t_0)))))
   (* (- s) (log (/ (+ -1.0 (pow t_1 -2.0)) (- (/ 1.0 t_1) -1.0))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := e^{\frac{\mathsf{PI}\left(\right)}{s}}\\
t_1 := \left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{u}{-1 - t\_0}\right) + \frac{1}{1 + t\_0}\\
\left(-s\right) \cdot \log \left(\frac{-1 + {t\_1}^{-2}}{\frac{1}{t\_1} - -1}\right)
\end{array}
\end{array}
Derivation
  1. Initial program 99.0%

    \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  2. Add Preprocessing
  3. Applied rewrites98.9%

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{\frac{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{2} + \frac{\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} - u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}}{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{3} + {\left(1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)}^{-3}}}}} - 1\right) \]
  4. Applied rewrites99.0%

    \[\leadsto \left(-s\right) \cdot \log \left(\color{blue}{\frac{1}{{\left(\frac{-u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} + \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}}\right)}^{3} + {\left(1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)}^{-3}} \cdot \left({\left(\frac{-u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} + \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}}\right)}^{2} + \frac{\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} - \left(\frac{-u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} + \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}}\right)}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)} - 1\right) \]
  5. Applied rewrites99.0%

    \[\leadsto \left(-s\right) \cdot \log \color{blue}{\left(\frac{{\left(\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} - \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}^{-2} + -1}{\frac{1}{\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} - \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - -1}\right)} \]
  6. Final simplification99.0%

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{-1 + {\left(\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{u}{-1 - e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}^{-2}}{\frac{1}{\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{u}{-1 - e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - -1}\right) \]
  7. Add Preprocessing

Alternative 4: 14.3% accurate, 0.9× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := e^{\frac{\mathsf{PI}\left(\right)}{s}}\\ \mathbf{if}\;\left(-s\right) \cdot \log \left(-1 + \frac{1}{\frac{1}{1 + t\_0} + u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{1}{-1 - t\_0}\right)}\right) \leq -4.9999998413276127 \cdot 10^{-20}:\\ \;\;\;\;s \cdot \frac{-1}{\frac{s}{\mathsf{PI}\left(\right)}}\\ \mathbf{else}:\\ \;\;\;\;\frac{s \cdot s}{u \cdot \left(\mathsf{PI}\left(\right) \cdot 0.5\right)}\\ \end{array} \end{array} \]
(FPCore (u s)
 :precision binary32
 (let* ((t_0 (exp (/ (PI) s))))
   (if (<=
        (*
         (- s)
         (log
          (+
           -1.0
           (/
            1.0
            (+
             (/ 1.0 (+ 1.0 t_0))
             (*
              u
              (+
               (/ 1.0 (+ 1.0 (exp (/ (PI) (- s)))))
               (/ 1.0 (- -1.0 t_0)))))))))
        -4.9999998413276127e-20)
     (* s (/ -1.0 (/ s (PI))))
     (/ (* s s) (* u (* (PI) 0.5))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := e^{\frac{\mathsf{PI}\left(\right)}{s}}\\
\mathbf{if}\;\left(-s\right) \cdot \log \left(-1 + \frac{1}{\frac{1}{1 + t\_0} + u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{1}{-1 - t\_0}\right)}\right) \leq -4.9999998413276127 \cdot 10^{-20}:\\
\;\;\;\;s \cdot \frac{-1}{\frac{s}{\mathsf{PI}\left(\right)}}\\

\mathbf{else}:\\
\;\;\;\;\frac{s \cdot s}{u \cdot \left(\mathsf{PI}\left(\right) \cdot 0.5\right)}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f32 (neg.f32 s) (log.f32 (-.f32 (/.f32 #s(literal 1 binary32) (+.f32 (*.f32 u (-.f32 (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (neg.f32 (PI.f32)) s)))) (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (PI.f32) s)))))) (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (PI.f32) s)))))) #s(literal 1 binary32)))) < -4.99999984e-20

    1. Initial program 98.8%

      \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    2. Add Preprocessing
    3. Applied rewrites98.7%

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{\frac{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{2} + \frac{\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} - u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}}{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{3} + {\left(1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)}^{-3}}}}} - 1\right) \]
    4. Taylor expanded in u around 0

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
    5. Step-by-step derivation
      1. lower-/.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
      2. lower-PI.f3215.2

        \[\leadsto \left(-s\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s} \]
    6. Applied rewrites15.2%

      \[\leadsto \left(-s\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
    7. Step-by-step derivation
      1. lift-PI.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s} \]
      2. clear-numN/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \color{blue}{\frac{1}{\frac{s}{\mathsf{PI}\left(\right)}}} \]
      3. lower-/.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \color{blue}{\frac{1}{\frac{s}{\mathsf{PI}\left(\right)}}} \]
      4. lower-/.f3215.2

        \[\leadsto \left(-s\right) \cdot \frac{1}{\color{blue}{\frac{s}{\mathsf{PI}\left(\right)}}} \]
    8. Applied rewrites15.2%

      \[\leadsto \left(-s\right) \cdot \color{blue}{\frac{1}{\frac{s}{\mathsf{PI}\left(\right)}}} \]

    if -4.99999984e-20 < (*.f32 (neg.f32 s) (log.f32 (-.f32 (/.f32 #s(literal 1 binary32) (+.f32 (*.f32 u (-.f32 (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (neg.f32 (PI.f32)) s)))) (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (PI.f32) s)))))) (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (PI.f32) s)))))) #s(literal 1 binary32))))

    1. Initial program 99.2%

      \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    2. Add Preprocessing
    3. Taylor expanded in u around inf

      \[\leadsto \color{blue}{-1 \cdot \left(s \cdot \log -1\right) + \frac{s}{u \cdot \left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}} \]
    4. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\left(\mathsf{neg}\left(s \cdot \log -1\right)\right)} + \frac{s}{u \cdot \left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)} \]
      2. distribute-rgt-neg-inN/A

        \[\leadsto \color{blue}{s \cdot \left(\mathsf{neg}\left(\log -1\right)\right)} + \frac{s}{u \cdot \left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)} \]
      3. lower-fma.f32N/A

        \[\leadsto \color{blue}{\mathsf{fma}\left(s, \mathsf{neg}\left(\log -1\right), \frac{s}{u \cdot \left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}\right)} \]
      4. lower-neg.f32N/A

        \[\leadsto \mathsf{fma}\left(s, \color{blue}{\mathsf{neg}\left(\log -1\right)}, \frac{s}{u \cdot \left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}\right) \]
      5. lower-log.f32N/A

        \[\leadsto \mathsf{fma}\left(s, \mathsf{neg}\left(\color{blue}{\log -1}\right), \frac{s}{u \cdot \left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}\right) \]
      6. lower-/.f32N/A

        \[\leadsto \mathsf{fma}\left(s, \mathsf{neg}\left(\log -1\right), \color{blue}{\frac{s}{u \cdot \left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}}\right) \]
      7. lower-*.f32N/A

        \[\leadsto \mathsf{fma}\left(s, \mathsf{neg}\left(\log -1\right), \frac{s}{\color{blue}{u \cdot \left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}}\right) \]
      8. sub-negN/A

        \[\leadsto \mathsf{fma}\left(s, \mathsf{neg}\left(\log -1\right), \frac{s}{u \cdot \color{blue}{\left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} + \left(\mathsf{neg}\left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)\right)}}\right) \]
      9. lower-+.f32N/A

        \[\leadsto \mathsf{fma}\left(s, \mathsf{neg}\left(\log -1\right), \frac{s}{u \cdot \color{blue}{\left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} + \left(\mathsf{neg}\left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)\right)}}\right) \]
    5. Applied rewrites10.6%

      \[\leadsto \color{blue}{\mathsf{fma}\left(s, -\log -1, \frac{s}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}\right)} \]
    6. Taylor expanded in s around inf

      \[\leadsto \color{blue}{\frac{{s}^{2}}{u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}} \]
    7. Step-by-step derivation
      1. lower-/.f32N/A

        \[\leadsto \color{blue}{\frac{{s}^{2}}{u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}} \]
      2. unpow2N/A

        \[\leadsto \frac{\color{blue}{s \cdot s}}{u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)} \]
      3. lower-*.f32N/A

        \[\leadsto \frac{\color{blue}{s \cdot s}}{u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)} \]
      4. lower-*.f32N/A

        \[\leadsto \frac{s \cdot s}{\color{blue}{u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}} \]
      5. distribute-rgt-out--N/A

        \[\leadsto \frac{s \cdot s}{u \cdot \color{blue}{\left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{4} - \frac{-1}{4}\right)\right)}} \]
      6. metadata-evalN/A

        \[\leadsto \frac{s \cdot s}{u \cdot \left(\mathsf{PI}\left(\right) \cdot \color{blue}{\frac{1}{2}}\right)} \]
      7. lower-*.f32N/A

        \[\leadsto \frac{s \cdot s}{u \cdot \color{blue}{\left(\mathsf{PI}\left(\right) \cdot \frac{1}{2}\right)}} \]
      8. lower-PI.f3213.8

        \[\leadsto \frac{s \cdot s}{u \cdot \left(\color{blue}{\mathsf{PI}\left(\right)} \cdot 0.5\right)} \]
    8. Applied rewrites13.8%

      \[\leadsto \color{blue}{\frac{s \cdot s}{u \cdot \left(\mathsf{PI}\left(\right) \cdot 0.5\right)}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification14.5%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\left(-s\right) \cdot \log \left(-1 + \frac{1}{\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} + u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{1}{-1 - e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}\right) \leq -4.9999998413276127 \cdot 10^{-20}:\\ \;\;\;\;s \cdot \frac{-1}{\frac{s}{\mathsf{PI}\left(\right)}}\\ \mathbf{else}:\\ \;\;\;\;\frac{s \cdot s}{u \cdot \left(\mathsf{PI}\left(\right) \cdot 0.5\right)}\\ \end{array} \]
  5. Add Preprocessing

Alternative 5: 14.3% accurate, 0.9× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := e^{\frac{\mathsf{PI}\left(\right)}{s}}\\ \mathbf{if}\;\left(-s\right) \cdot \log \left(-1 + \frac{1}{\frac{1}{1 + t\_0} + u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{1}{-1 - t\_0}\right)}\right) \leq -4.9999998413276127 \cdot 10^{-20}:\\ \;\;\;\;\mathsf{PI}\left(\right) \cdot \left(s \cdot \frac{-1}{s}\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{s \cdot s}{u \cdot \left(\mathsf{PI}\left(\right) \cdot 0.5\right)}\\ \end{array} \end{array} \]
(FPCore (u s)
 :precision binary32
 (let* ((t_0 (exp (/ (PI) s))))
   (if (<=
        (*
         (- s)
         (log
          (+
           -1.0
           (/
            1.0
            (+
             (/ 1.0 (+ 1.0 t_0))
             (*
              u
              (+
               (/ 1.0 (+ 1.0 (exp (/ (PI) (- s)))))
               (/ 1.0 (- -1.0 t_0)))))))))
        -4.9999998413276127e-20)
     (* (PI) (* s (/ -1.0 s)))
     (/ (* s s) (* u (* (PI) 0.5))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := e^{\frac{\mathsf{PI}\left(\right)}{s}}\\
\mathbf{if}\;\left(-s\right) \cdot \log \left(-1 + \frac{1}{\frac{1}{1 + t\_0} + u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{1}{-1 - t\_0}\right)}\right) \leq -4.9999998413276127 \cdot 10^{-20}:\\
\;\;\;\;\mathsf{PI}\left(\right) \cdot \left(s \cdot \frac{-1}{s}\right)\\

\mathbf{else}:\\
\;\;\;\;\frac{s \cdot s}{u \cdot \left(\mathsf{PI}\left(\right) \cdot 0.5\right)}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f32 (neg.f32 s) (log.f32 (-.f32 (/.f32 #s(literal 1 binary32) (+.f32 (*.f32 u (-.f32 (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (neg.f32 (PI.f32)) s)))) (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (PI.f32) s)))))) (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (PI.f32) s)))))) #s(literal 1 binary32)))) < -4.99999984e-20

    1. Initial program 98.8%

      \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    2. Add Preprocessing
    3. Applied rewrites98.7%

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{\frac{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{2} + \frac{\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} - u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}}{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{3} + {\left(1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)}^{-3}}}}} - 1\right) \]
    4. Taylor expanded in u around 0

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
    5. Step-by-step derivation
      1. lower-/.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
      2. lower-PI.f3215.2

        \[\leadsto \left(-s\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s} \]
    6. Applied rewrites15.2%

      \[\leadsto \left(-s\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
    7. Step-by-step derivation
      1. lift-neg.f32N/A

        \[\leadsto \color{blue}{\left(\mathsf{neg}\left(s\right)\right)} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
      2. lift-PI.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s} \]
      3. lift-/.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
      4. *-commutativeN/A

        \[\leadsto \color{blue}{\frac{\mathsf{PI}\left(\right)}{s} \cdot \left(\mathsf{neg}\left(s\right)\right)} \]
      5. lift-/.f32N/A

        \[\leadsto \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \cdot \left(\mathsf{neg}\left(s\right)\right) \]
      6. div-invN/A

        \[\leadsto \color{blue}{\left(\mathsf{PI}\left(\right) \cdot \frac{1}{s}\right)} \cdot \left(\mathsf{neg}\left(s\right)\right) \]
      7. associate-*l*N/A

        \[\leadsto \color{blue}{\mathsf{PI}\left(\right) \cdot \left(\frac{1}{s} \cdot \left(\mathsf{neg}\left(s\right)\right)\right)} \]
      8. lower-*.f32N/A

        \[\leadsto \color{blue}{\mathsf{PI}\left(\right) \cdot \left(\frac{1}{s} \cdot \left(\mathsf{neg}\left(s\right)\right)\right)} \]
      9. lower-*.f32N/A

        \[\leadsto \mathsf{PI}\left(\right) \cdot \color{blue}{\left(\frac{1}{s} \cdot \left(\mathsf{neg}\left(s\right)\right)\right)} \]
      10. lower-/.f3215.2

        \[\leadsto \mathsf{PI}\left(\right) \cdot \left(\color{blue}{\frac{1}{s}} \cdot \left(-s\right)\right) \]
    8. Applied rewrites15.2%

      \[\leadsto \color{blue}{\mathsf{PI}\left(\right) \cdot \left(\frac{1}{s} \cdot \left(-s\right)\right)} \]

    if -4.99999984e-20 < (*.f32 (neg.f32 s) (log.f32 (-.f32 (/.f32 #s(literal 1 binary32) (+.f32 (*.f32 u (-.f32 (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (neg.f32 (PI.f32)) s)))) (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (PI.f32) s)))))) (/.f32 #s(literal 1 binary32) (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (PI.f32) s)))))) #s(literal 1 binary32))))

    1. Initial program 99.2%

      \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    2. Add Preprocessing
    3. Taylor expanded in u around inf

      \[\leadsto \color{blue}{-1 \cdot \left(s \cdot \log -1\right) + \frac{s}{u \cdot \left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}} \]
    4. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\left(\mathsf{neg}\left(s \cdot \log -1\right)\right)} + \frac{s}{u \cdot \left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)} \]
      2. distribute-rgt-neg-inN/A

        \[\leadsto \color{blue}{s \cdot \left(\mathsf{neg}\left(\log -1\right)\right)} + \frac{s}{u \cdot \left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)} \]
      3. lower-fma.f32N/A

        \[\leadsto \color{blue}{\mathsf{fma}\left(s, \mathsf{neg}\left(\log -1\right), \frac{s}{u \cdot \left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}\right)} \]
      4. lower-neg.f32N/A

        \[\leadsto \mathsf{fma}\left(s, \color{blue}{\mathsf{neg}\left(\log -1\right)}, \frac{s}{u \cdot \left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}\right) \]
      5. lower-log.f32N/A

        \[\leadsto \mathsf{fma}\left(s, \mathsf{neg}\left(\color{blue}{\log -1}\right), \frac{s}{u \cdot \left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}\right) \]
      6. lower-/.f32N/A

        \[\leadsto \mathsf{fma}\left(s, \mathsf{neg}\left(\log -1\right), \color{blue}{\frac{s}{u \cdot \left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}}\right) \]
      7. lower-*.f32N/A

        \[\leadsto \mathsf{fma}\left(s, \mathsf{neg}\left(\log -1\right), \frac{s}{\color{blue}{u \cdot \left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}}\right) \]
      8. sub-negN/A

        \[\leadsto \mathsf{fma}\left(s, \mathsf{neg}\left(\log -1\right), \frac{s}{u \cdot \color{blue}{\left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} + \left(\mathsf{neg}\left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)\right)}}\right) \]
      9. lower-+.f32N/A

        \[\leadsto \mathsf{fma}\left(s, \mathsf{neg}\left(\log -1\right), \frac{s}{u \cdot \color{blue}{\left(\frac{1}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}} + \left(\mathsf{neg}\left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)\right)}}\right) \]
    5. Applied rewrites10.6%

      \[\leadsto \color{blue}{\mathsf{fma}\left(s, -\log -1, \frac{s}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}\right)} \]
    6. Taylor expanded in s around inf

      \[\leadsto \color{blue}{\frac{{s}^{2}}{u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}} \]
    7. Step-by-step derivation
      1. lower-/.f32N/A

        \[\leadsto \color{blue}{\frac{{s}^{2}}{u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}} \]
      2. unpow2N/A

        \[\leadsto \frac{\color{blue}{s \cdot s}}{u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)} \]
      3. lower-*.f32N/A

        \[\leadsto \frac{\color{blue}{s \cdot s}}{u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)} \]
      4. lower-*.f32N/A

        \[\leadsto \frac{s \cdot s}{\color{blue}{u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}} \]
      5. distribute-rgt-out--N/A

        \[\leadsto \frac{s \cdot s}{u \cdot \color{blue}{\left(\mathsf{PI}\left(\right) \cdot \left(\frac{1}{4} - \frac{-1}{4}\right)\right)}} \]
      6. metadata-evalN/A

        \[\leadsto \frac{s \cdot s}{u \cdot \left(\mathsf{PI}\left(\right) \cdot \color{blue}{\frac{1}{2}}\right)} \]
      7. lower-*.f32N/A

        \[\leadsto \frac{s \cdot s}{u \cdot \color{blue}{\left(\mathsf{PI}\left(\right) \cdot \frac{1}{2}\right)}} \]
      8. lower-PI.f3213.8

        \[\leadsto \frac{s \cdot s}{u \cdot \left(\color{blue}{\mathsf{PI}\left(\right)} \cdot 0.5\right)} \]
    8. Applied rewrites13.8%

      \[\leadsto \color{blue}{\frac{s \cdot s}{u \cdot \left(\mathsf{PI}\left(\right) \cdot 0.5\right)}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification14.5%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\left(-s\right) \cdot \log \left(-1 + \frac{1}{\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} + u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{1}{-1 - e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}\right) \leq -4.9999998413276127 \cdot 10^{-20}:\\ \;\;\;\;\mathsf{PI}\left(\right) \cdot \left(s \cdot \frac{-1}{s}\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{s \cdot s}{u \cdot \left(\mathsf{PI}\left(\right) \cdot 0.5\right)}\\ \end{array} \]
  5. Add Preprocessing

Alternative 6: 99.0% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := e^{\frac{\mathsf{PI}\left(\right)}{s}}\\ \left(-s\right) \cdot \log \left(-1 + \frac{1}{\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{u}{-1 - t\_0}\right) + \frac{1}{1 + t\_0}}\right) \end{array} \end{array} \]
(FPCore (u s)
 :precision binary32
 (let* ((t_0 (exp (/ (PI) s))))
   (*
    (- s)
    (log
     (+
      -1.0
      (/
       1.0
       (+
        (+ (/ u (+ 1.0 (exp (/ (PI) (- s))))) (/ u (- -1.0 t_0)))
        (/ 1.0 (+ 1.0 t_0)))))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := e^{\frac{\mathsf{PI}\left(\right)}{s}}\\
\left(-s\right) \cdot \log \left(-1 + \frac{1}{\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{u}{-1 - t\_0}\right) + \frac{1}{1 + t\_0}}\right)
\end{array}
\end{array}
Derivation
  1. Initial program 99.0%

    \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  2. Add Preprocessing
  3. Applied rewrites98.9%

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{\frac{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{2} + \frac{\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} - u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}}{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{3} + {\left(1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)}^{-3}}}}} - 1\right) \]
  4. Applied rewrites99.0%

    \[\leadsto \left(-s\right) \cdot \log \left(\color{blue}{\frac{1}{{\left(\frac{-u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} + \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}}\right)}^{3} + {\left(1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)}^{-3}} \cdot \left({\left(\frac{-u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} + \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}}\right)}^{2} + \frac{\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} - \left(\frac{-u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} + \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}}\right)}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)} - 1\right) \]
  5. Applied rewrites99.0%

    \[\leadsto \left(-s\right) \cdot \log \left(\color{blue}{\frac{1}{\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} - \frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}}} - 1\right) \]
  6. Final simplification99.0%

    \[\leadsto \left(-s\right) \cdot \log \left(-1 + \frac{1}{\left(\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{u}{-1 - e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}}\right) \]
  7. Add Preprocessing

Alternative 7: 98.7% accurate, 1.4× speedup?

\[\begin{array}{l} \\ \left(-s\right) \cdot \log \left(-1 + \frac{1}{\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}}\right) \end{array} \]
(FPCore (u s)
 :precision binary32
 (*
  (- s)
  (log
   (+
    -1.0
    (/
     1.0
     (+
      (/ u (+ 1.0 (exp (/ (PI) (- s)))))
      (/ 1.0 (+ 1.0 (exp (/ (PI) s))))))))))
\begin{array}{l}

\\
\left(-s\right) \cdot \log \left(-1 + \frac{1}{\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}}\right)
\end{array}
Derivation
  1. Initial program 99.0%

    \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  2. Add Preprocessing
  3. Taylor expanded in s around inf

    \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \color{blue}{\left(1 + \left(\frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}} + \frac{\mathsf{PI}\left(\right)}{s}\right)\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  4. Step-by-step derivation
    1. associate-+r+N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \color{blue}{\left(\left(1 + \frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}\right) + \frac{\mathsf{PI}\left(\right)}{s}\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    2. +-commutativeN/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \color{blue}{\left(\frac{\mathsf{PI}\left(\right)}{s} + \left(1 + \frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}\right)\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    3. lower-+.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \color{blue}{\left(\frac{\mathsf{PI}\left(\right)}{s} + \left(1 + \frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}\right)\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    4. lower-/.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} + \left(1 + \frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    5. lower-PI.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\color{blue}{\mathsf{PI}\left(\right)}}{s} + \left(1 + \frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    6. +-commutativeN/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \color{blue}{\left(\frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}} + 1\right)}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    7. associate-*r/N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \left(\color{blue}{\frac{\frac{1}{2} \cdot {\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}} + 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    8. *-commutativeN/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \left(\frac{\color{blue}{{\mathsf{PI}\left(\right)}^{2} \cdot \frac{1}{2}}}{{s}^{2}} + 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    9. associate-/l*N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \left(\color{blue}{{\mathsf{PI}\left(\right)}^{2} \cdot \frac{\frac{1}{2}}{{s}^{2}}} + 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    10. lower-fma.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \color{blue}{\mathsf{fma}\left({\mathsf{PI}\left(\right)}^{2}, \frac{\frac{1}{2}}{{s}^{2}}, 1\right)}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    11. unpow2N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\color{blue}{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}, \frac{\frac{1}{2}}{{s}^{2}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    12. lower-*.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\color{blue}{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}, \frac{\frac{1}{2}}{{s}^{2}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    13. lower-PI.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot \mathsf{PI}\left(\right), \frac{\frac{1}{2}}{{s}^{2}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    14. lower-PI.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}, \frac{\frac{1}{2}}{{s}^{2}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    15. lower-/.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \color{blue}{\frac{\frac{1}{2}}{{s}^{2}}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    16. unpow2N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{\frac{1}{2}}{\color{blue}{s \cdot s}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    17. lower-*.f3295.0

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5}{\color{blue}{s \cdot s}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  5. Applied rewrites95.0%

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + \color{blue}{\left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5}{s \cdot s}, 1\right)\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  6. Taylor expanded in s around 0

    \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{u}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}}} + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  7. Step-by-step derivation
    1. lower-/.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{u}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}}} + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    2. lower-+.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{u}{\color{blue}{1 + e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}}} + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    3. lower-exp.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{u}{1 + \color{blue}{e^{-1 \cdot \frac{\mathsf{PI}\left(\right)}{s}}}} + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    4. associate-*r/N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{u}{1 + e^{\color{blue}{\frac{-1 \cdot \mathsf{PI}\left(\right)}{s}}}} + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    5. lower-/.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{u}{1 + e^{\color{blue}{\frac{-1 \cdot \mathsf{PI}\left(\right)}{s}}}} + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    6. mul-1-negN/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{u}{1 + e^{\frac{\color{blue}{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}}{s}}} + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    7. lower-neg.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{u}{1 + e^{\frac{\color{blue}{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}}{s}}} + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    8. lower-PI.f3298.7

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\frac{u}{1 + e^{\frac{-\color{blue}{\mathsf{PI}\left(\right)}}{s}}} + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  8. Applied rewrites98.7%

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{u}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}}} + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  9. Final simplification98.7%

    \[\leadsto \left(-s\right) \cdot \log \left(-1 + \frac{1}{\frac{u}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}}\right) \]
  10. Add Preprocessing

Alternative 8: 85.6% accurate, 1.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\ \left(-s\right) \cdot \log \left(-1 + \frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{1}{-1 - \left(t\_0 + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5}{s \cdot s}, 1\right)\right)}\right) + \frac{1}{1 + \left(1 + t\_0\right)}}\right) \end{array} \end{array} \]
(FPCore (u s)
 :precision binary32
 (let* ((t_0 (/ (PI) s)))
   (*
    (- s)
    (log
     (+
      -1.0
      (/
       1.0
       (+
        (*
         u
         (+
          (/ 1.0 (+ 1.0 (exp (/ (PI) (- s)))))
          (/ 1.0 (- -1.0 (+ t_0 (fma (* (PI) (PI)) (/ 0.5 (* s s)) 1.0))))))
        (/ 1.0 (+ 1.0 (+ 1.0 t_0))))))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\
\left(-s\right) \cdot \log \left(-1 + \frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{1}{-1 - \left(t\_0 + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5}{s \cdot s}, 1\right)\right)}\right) + \frac{1}{1 + \left(1 + t\_0\right)}}\right)
\end{array}
\end{array}
Derivation
  1. Initial program 99.0%

    \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  2. Add Preprocessing
  3. Taylor expanded in s around inf

    \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \color{blue}{\left(1 + \left(\frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}} + \frac{\mathsf{PI}\left(\right)}{s}\right)\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  4. Step-by-step derivation
    1. associate-+r+N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \color{blue}{\left(\left(1 + \frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}\right) + \frac{\mathsf{PI}\left(\right)}{s}\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    2. +-commutativeN/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \color{blue}{\left(\frac{\mathsf{PI}\left(\right)}{s} + \left(1 + \frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}\right)\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    3. lower-+.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \color{blue}{\left(\frac{\mathsf{PI}\left(\right)}{s} + \left(1 + \frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}\right)\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    4. lower-/.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} + \left(1 + \frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    5. lower-PI.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\color{blue}{\mathsf{PI}\left(\right)}}{s} + \left(1 + \frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    6. +-commutativeN/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \color{blue}{\left(\frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}} + 1\right)}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    7. associate-*r/N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \left(\color{blue}{\frac{\frac{1}{2} \cdot {\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}} + 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    8. *-commutativeN/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \left(\frac{\color{blue}{{\mathsf{PI}\left(\right)}^{2} \cdot \frac{1}{2}}}{{s}^{2}} + 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    9. associate-/l*N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \left(\color{blue}{{\mathsf{PI}\left(\right)}^{2} \cdot \frac{\frac{1}{2}}{{s}^{2}}} + 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    10. lower-fma.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \color{blue}{\mathsf{fma}\left({\mathsf{PI}\left(\right)}^{2}, \frac{\frac{1}{2}}{{s}^{2}}, 1\right)}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    11. unpow2N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\color{blue}{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}, \frac{\frac{1}{2}}{{s}^{2}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    12. lower-*.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\color{blue}{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}, \frac{\frac{1}{2}}{{s}^{2}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    13. lower-PI.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot \mathsf{PI}\left(\right), \frac{\frac{1}{2}}{{s}^{2}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    14. lower-PI.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}, \frac{\frac{1}{2}}{{s}^{2}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    15. lower-/.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \color{blue}{\frac{\frac{1}{2}}{{s}^{2}}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    16. unpow2N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{\frac{1}{2}}{\color{blue}{s \cdot s}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    17. lower-*.f3295.0

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5}{\color{blue}{s \cdot s}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  5. Applied rewrites95.0%

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + \color{blue}{\left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5}{s \cdot s}, 1\right)\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  6. Taylor expanded in s around inf

    \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{\frac{1}{2}}{s \cdot s}, 1\right)\right)}\right) + \frac{1}{1 + \color{blue}{\left(1 + \frac{\mathsf{PI}\left(\right)}{s}\right)}}} - 1\right) \]
  7. Step-by-step derivation
    1. lower-+.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{\frac{1}{2}}{s \cdot s}, 1\right)\right)}\right) + \frac{1}{1 + \color{blue}{\left(1 + \frac{\mathsf{PI}\left(\right)}{s}\right)}}} - 1\right) \]
    2. lower-/.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{\frac{1}{2}}{s \cdot s}, 1\right)\right)}\right) + \frac{1}{1 + \left(1 + \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}}\right)}} - 1\right) \]
    3. lower-PI.f3286.1

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5}{s \cdot s}, 1\right)\right)}\right) + \frac{1}{1 + \left(1 + \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s}\right)}} - 1\right) \]
  8. Applied rewrites86.1%

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5}{s \cdot s}, 1\right)\right)}\right) + \frac{1}{1 + \color{blue}{\left(1 + \frac{\mathsf{PI}\left(\right)}{s}\right)}}} - 1\right) \]
  9. Final simplification86.1%

    \[\leadsto \left(-s\right) \cdot \log \left(-1 + \frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{1}{-1 - \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5}{s \cdot s}, 1\right)\right)}\right) + \frac{1}{1 + \left(1 + \frac{\mathsf{PI}\left(\right)}{s}\right)}}\right) \]
  10. Add Preprocessing

Alternative 9: 37.6% accurate, 1.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\ \left(-s\right) \cdot \log \left(-1 + \frac{1}{\frac{1}{1 + e^{t\_0}} + u \cdot \left(\frac{1}{1 + 1} + \frac{1}{-1 - \left(t\_0 + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5}{s \cdot s}, 1\right)\right)}\right)}\right) \end{array} \end{array} \]
(FPCore (u s)
 :precision binary32
 (let* ((t_0 (/ (PI) s)))
   (*
    (- s)
    (log
     (+
      -1.0
      (/
       1.0
       (+
        (/ 1.0 (+ 1.0 (exp t_0)))
        (*
         u
         (+
          (/ 1.0 (+ 1.0 1.0))
          (/
           1.0
           (- -1.0 (+ t_0 (fma (* (PI) (PI)) (/ 0.5 (* s s)) 1.0)))))))))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{\mathsf{PI}\left(\right)}{s}\\
\left(-s\right) \cdot \log \left(-1 + \frac{1}{\frac{1}{1 + e^{t\_0}} + u \cdot \left(\frac{1}{1 + 1} + \frac{1}{-1 - \left(t\_0 + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5}{s \cdot s}, 1\right)\right)}\right)}\right)
\end{array}
\end{array}
Derivation
  1. Initial program 99.0%

    \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  2. Add Preprocessing
  3. Taylor expanded in s around inf

    \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \color{blue}{\left(1 + \left(\frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}} + \frac{\mathsf{PI}\left(\right)}{s}\right)\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  4. Step-by-step derivation
    1. associate-+r+N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \color{blue}{\left(\left(1 + \frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}\right) + \frac{\mathsf{PI}\left(\right)}{s}\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    2. +-commutativeN/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \color{blue}{\left(\frac{\mathsf{PI}\left(\right)}{s} + \left(1 + \frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}\right)\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    3. lower-+.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \color{blue}{\left(\frac{\mathsf{PI}\left(\right)}{s} + \left(1 + \frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}\right)\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    4. lower-/.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} + \left(1 + \frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    5. lower-PI.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\color{blue}{\mathsf{PI}\left(\right)}}{s} + \left(1 + \frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    6. +-commutativeN/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \color{blue}{\left(\frac{1}{2} \cdot \frac{{\mathsf{PI}\left(\right)}^{2}}{{s}^{2}} + 1\right)}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    7. associate-*r/N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \left(\color{blue}{\frac{\frac{1}{2} \cdot {\mathsf{PI}\left(\right)}^{2}}{{s}^{2}}} + 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    8. *-commutativeN/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \left(\frac{\color{blue}{{\mathsf{PI}\left(\right)}^{2} \cdot \frac{1}{2}}}{{s}^{2}} + 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    9. associate-/l*N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \left(\color{blue}{{\mathsf{PI}\left(\right)}^{2} \cdot \frac{\frac{1}{2}}{{s}^{2}}} + 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    10. lower-fma.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \color{blue}{\mathsf{fma}\left({\mathsf{PI}\left(\right)}^{2}, \frac{\frac{1}{2}}{{s}^{2}}, 1\right)}\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    11. unpow2N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\color{blue}{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}, \frac{\frac{1}{2}}{{s}^{2}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    12. lower-*.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\color{blue}{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}, \frac{\frac{1}{2}}{{s}^{2}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    13. lower-PI.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\color{blue}{\mathsf{PI}\left(\right)} \cdot \mathsf{PI}\left(\right), \frac{\frac{1}{2}}{{s}^{2}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    14. lower-PI.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}, \frac{\frac{1}{2}}{{s}^{2}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    15. lower-/.f32N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \color{blue}{\frac{\frac{1}{2}}{{s}^{2}}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    16. unpow2N/A

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{\frac{1}{2}}{\color{blue}{s \cdot s}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    17. lower-*.f3295.0

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5}{\color{blue}{s \cdot s}}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  5. Applied rewrites95.0%

    \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + \color{blue}{\left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5}{s \cdot s}, 1\right)\right)}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  6. Taylor expanded in s around inf

    \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{1}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{\frac{1}{2}}{s \cdot s}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
  7. Step-by-step derivation
    1. Applied rewrites37.7%

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + \color{blue}{1}} - \frac{1}{1 + \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5}{s \cdot s}, 1\right)\right)}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    2. Final simplification37.7%

      \[\leadsto \left(-s\right) \cdot \log \left(-1 + \frac{1}{\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} + u \cdot \left(\frac{1}{1 + 1} + \frac{1}{-1 - \left(\frac{\mathsf{PI}\left(\right)}{s} + \mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5}{s \cdot s}, 1\right)\right)}\right)}\right) \]
    3. Add Preprocessing

    Alternative 10: 3.9% accurate, 2.7× speedup?

    \[\begin{array}{l} \\ \left(-s\right) \cdot \log \left(-1 + \frac{s}{\left(u \cdot u\right) \cdot \mathsf{fma}\left(0.25, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5 \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)}{u}\right)} \cdot \mathsf{fma}\left(0.5, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), \mathsf{PI}\left(\right) \cdot 0.25\right)\right) \end{array} \]
    (FPCore (u s)
     :precision binary32
     (*
      (- s)
      (log
       (+
        -1.0
        (*
         (/ s (* (* u u) (fma 0.25 (* (PI) (PI)) (/ (* 0.5 (* s (PI))) u))))
         (fma 0.5 (fma u (PI) s) (* (PI) 0.25)))))))
    \begin{array}{l}
    
    \\
    \left(-s\right) \cdot \log \left(-1 + \frac{s}{\left(u \cdot u\right) \cdot \mathsf{fma}\left(0.25, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5 \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)}{u}\right)} \cdot \mathsf{fma}\left(0.5, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), \mathsf{PI}\left(\right) \cdot 0.25\right)\right)
    \end{array}
    
    Derivation
    1. Initial program 99.0%

      \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    2. Add Preprocessing
    3. Taylor expanded in s around -inf

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{2} + -1 \cdot \frac{u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)}{s}}} - 1\right) \]
    4. Step-by-step derivation
      1. lower-+.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{2} + -1 \cdot \frac{u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)}{s}}} - 1\right) \]
      2. associate-*r/N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{1}{2} + \color{blue}{\frac{-1 \cdot \left(u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}{s}}} - 1\right) \]
    5. Applied rewrites0.6%

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{0.5 + \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right), -0.25, u \cdot \left(\mathsf{PI}\left(\right) \cdot 0.5\right)\right)}{s}}} - 1\right) \]
    6. Taylor expanded in s around 0

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{\frac{-1}{4} \cdot \mathsf{PI}\left(\right) + \left(\frac{1}{2} \cdot s + \frac{1}{2} \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)\right)}{s}}} - 1\right) \]
    7. Step-by-step derivation
      1. lower-/.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{\frac{-1}{4} \cdot \mathsf{PI}\left(\right) + \left(\frac{1}{2} \cdot s + \frac{1}{2} \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)\right)}{s}}} - 1\right) \]
      2. +-commutativeN/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{\color{blue}{\left(\frac{1}{2} \cdot s + \frac{1}{2} \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)\right) + \frac{-1}{4} \cdot \mathsf{PI}\left(\right)}}{s}} - 1\right) \]
      3. distribute-lft-outN/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{\color{blue}{\frac{1}{2} \cdot \left(s + u \cdot \mathsf{PI}\left(\right)\right)} + \frac{-1}{4} \cdot \mathsf{PI}\left(\right)}{s}} - 1\right) \]
      4. lower-fma.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{\color{blue}{\mathsf{fma}\left(\frac{1}{2}, s + u \cdot \mathsf{PI}\left(\right), \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}}{s}} - 1\right) \]
      5. lower-+.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{\mathsf{fma}\left(\frac{1}{2}, \color{blue}{s + u \cdot \mathsf{PI}\left(\right)}, \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}{s}} - 1\right) \]
      6. *-commutativeN/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{\mathsf{fma}\left(\frac{1}{2}, s + \color{blue}{\mathsf{PI}\left(\right) \cdot u}, \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}{s}} - 1\right) \]
      7. lower-*.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{\mathsf{fma}\left(\frac{1}{2}, s + \color{blue}{\mathsf{PI}\left(\right) \cdot u}, \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}{s}} - 1\right) \]
      8. lower-PI.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{\mathsf{fma}\left(\frac{1}{2}, s + \color{blue}{\mathsf{PI}\left(\right)} \cdot u, \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}{s}} - 1\right) \]
      9. *-commutativeN/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{\mathsf{fma}\left(\frac{1}{2}, s + \mathsf{PI}\left(\right) \cdot u, \color{blue}{\mathsf{PI}\left(\right) \cdot \frac{-1}{4}}\right)}{s}} - 1\right) \]
      10. lower-*.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{\mathsf{fma}\left(\frac{1}{2}, s + \mathsf{PI}\left(\right) \cdot u, \color{blue}{\mathsf{PI}\left(\right) \cdot \frac{-1}{4}}\right)}{s}} - 1\right) \]
      11. lower-PI.f32-0.0

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\frac{\mathsf{fma}\left(0.5, s + \mathsf{PI}\left(\right) \cdot u, \color{blue}{\mathsf{PI}\left(\right)} \cdot -0.25\right)}{s}} - 1\right) \]
    8. Applied rewrites-0.0%

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{\mathsf{fma}\left(0.5, s + \mathsf{PI}\left(\right) \cdot u, \mathsf{PI}\left(\right) \cdot -0.25\right)}{s}}} - 1\right) \]
    9. Applied rewrites0.0%

      \[\leadsto \left(-s\right) \cdot \log \left(\color{blue}{\frac{s}{\mathsf{fma}\left(0.25, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right) \cdot \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), -\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot 0.0625\right)} \cdot \mathsf{fma}\left(0.5, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), 0.25 \cdot \mathsf{PI}\left(\right)\right)} - 1\right) \]
    10. Taylor expanded in u around inf

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{s}{\color{blue}{{u}^{2} \cdot \left(\frac{1}{4} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{2} \cdot \frac{s \cdot \mathsf{PI}\left(\right)}{u}\right)}} \cdot \mathsf{fma}\left(\frac{1}{2}, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - 1\right) \]
    11. Step-by-step derivation
      1. lower-*.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{s}{\color{blue}{{u}^{2} \cdot \left(\frac{1}{4} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{2} \cdot \frac{s \cdot \mathsf{PI}\left(\right)}{u}\right)}} \cdot \mathsf{fma}\left(\frac{1}{2}, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - 1\right) \]
      2. unpow2N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{s}{\color{blue}{\left(u \cdot u\right)} \cdot \left(\frac{1}{4} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{2} \cdot \frac{s \cdot \mathsf{PI}\left(\right)}{u}\right)} \cdot \mathsf{fma}\left(\frac{1}{2}, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - 1\right) \]
      3. lower-*.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{s}{\color{blue}{\left(u \cdot u\right)} \cdot \left(\frac{1}{4} \cdot {\mathsf{PI}\left(\right)}^{2} + \frac{1}{2} \cdot \frac{s \cdot \mathsf{PI}\left(\right)}{u}\right)} \cdot \mathsf{fma}\left(\frac{1}{2}, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - 1\right) \]
      4. lower-fma.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{s}{\left(u \cdot u\right) \cdot \color{blue}{\mathsf{fma}\left(\frac{1}{4}, {\mathsf{PI}\left(\right)}^{2}, \frac{1}{2} \cdot \frac{s \cdot \mathsf{PI}\left(\right)}{u}\right)}} \cdot \mathsf{fma}\left(\frac{1}{2}, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - 1\right) \]
      5. unpow2N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{s}{\left(u \cdot u\right) \cdot \mathsf{fma}\left(\frac{1}{4}, \color{blue}{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}, \frac{1}{2} \cdot \frac{s \cdot \mathsf{PI}\left(\right)}{u}\right)} \cdot \mathsf{fma}\left(\frac{1}{2}, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - 1\right) \]
      6. lower-*.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{s}{\left(u \cdot u\right) \cdot \mathsf{fma}\left(\frac{1}{4}, \color{blue}{\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)}, \frac{1}{2} \cdot \frac{s \cdot \mathsf{PI}\left(\right)}{u}\right)} \cdot \mathsf{fma}\left(\frac{1}{2}, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - 1\right) \]
      7. lower-PI.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{s}{\left(u \cdot u\right) \cdot \mathsf{fma}\left(\frac{1}{4}, \color{blue}{\mathsf{PI}\left(\right)} \cdot \mathsf{PI}\left(\right), \frac{1}{2} \cdot \frac{s \cdot \mathsf{PI}\left(\right)}{u}\right)} \cdot \mathsf{fma}\left(\frac{1}{2}, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - 1\right) \]
      8. lower-PI.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{s}{\left(u \cdot u\right) \cdot \mathsf{fma}\left(\frac{1}{4}, \mathsf{PI}\left(\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}, \frac{1}{2} \cdot \frac{s \cdot \mathsf{PI}\left(\right)}{u}\right)} \cdot \mathsf{fma}\left(\frac{1}{2}, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - 1\right) \]
      9. associate-*r/N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{s}{\left(u \cdot u\right) \cdot \mathsf{fma}\left(\frac{1}{4}, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \color{blue}{\frac{\frac{1}{2} \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)}{u}}\right)} \cdot \mathsf{fma}\left(\frac{1}{2}, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - 1\right) \]
      10. lower-/.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{s}{\left(u \cdot u\right) \cdot \mathsf{fma}\left(\frac{1}{4}, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \color{blue}{\frac{\frac{1}{2} \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)}{u}}\right)} \cdot \mathsf{fma}\left(\frac{1}{2}, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - 1\right) \]
      11. lower-*.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{s}{\left(u \cdot u\right) \cdot \mathsf{fma}\left(\frac{1}{4}, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{\color{blue}{\frac{1}{2} \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)}}{u}\right)} \cdot \mathsf{fma}\left(\frac{1}{2}, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - 1\right) \]
      12. lower-*.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{s}{\left(u \cdot u\right) \cdot \mathsf{fma}\left(\frac{1}{4}, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{\frac{1}{2} \cdot \color{blue}{\left(s \cdot \mathsf{PI}\left(\right)\right)}}{u}\right)} \cdot \mathsf{fma}\left(\frac{1}{2}, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - 1\right) \]
      13. lower-PI.f3218.5

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{s}{\left(u \cdot u\right) \cdot \mathsf{fma}\left(0.25, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5 \cdot \left(s \cdot \color{blue}{\mathsf{PI}\left(\right)}\right)}{u}\right)} \cdot \mathsf{fma}\left(0.5, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), 0.25 \cdot \mathsf{PI}\left(\right)\right) - 1\right) \]
    12. Applied rewrites18.5%

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{s}{\color{blue}{\left(u \cdot u\right) \cdot \mathsf{fma}\left(0.25, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5 \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)}{u}\right)}} \cdot \mathsf{fma}\left(0.5, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), 0.25 \cdot \mathsf{PI}\left(\right)\right) - 1\right) \]
    13. Final simplification18.5%

      \[\leadsto \left(-s\right) \cdot \log \left(-1 + \frac{s}{\left(u \cdot u\right) \cdot \mathsf{fma}\left(0.25, \mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right), \frac{0.5 \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)}{u}\right)} \cdot \mathsf{fma}\left(0.5, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), \mathsf{PI}\left(\right) \cdot 0.25\right)\right) \]
    14. Add Preprocessing

    Alternative 11: 23.7% accurate, 2.9× speedup?

    \[\begin{array}{l} \\ \left(-s\right) \cdot \log \left(-1 + \left(\mathsf{fma}\left(-8, \frac{\mathsf{fma}\left(0.5, u \cdot \left(\mathsf{PI}\left(\right) \cdot 0.5\right), \mathsf{PI}\left(\right) \cdot 0.25\right)}{s}, 2\right) + 0.25 \cdot \frac{\mathsf{PI}\left(\right) \cdot 12}{s}\right)\right) \end{array} \]
    (FPCore (u s)
     :precision binary32
     (*
      (- s)
      (log
       (+
        -1.0
        (+
         (fma -8.0 (/ (fma 0.5 (* u (* (PI) 0.5)) (* (PI) 0.25)) s) 2.0)
         (* 0.25 (/ (* (PI) 12.0) s)))))))
    \begin{array}{l}
    
    \\
    \left(-s\right) \cdot \log \left(-1 + \left(\mathsf{fma}\left(-8, \frac{\mathsf{fma}\left(0.5, u \cdot \left(\mathsf{PI}\left(\right) \cdot 0.5\right), \mathsf{PI}\left(\right) \cdot 0.25\right)}{s}, 2\right) + 0.25 \cdot \frac{\mathsf{PI}\left(\right) \cdot 12}{s}\right)\right)
    \end{array}
    
    Derivation
    1. Initial program 99.0%

      \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    2. Add Preprocessing
    3. Applied rewrites98.9%

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{\frac{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{2} + \frac{\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} - u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}}{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{3} + {\left(1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)}^{-3}}}}} - 1\right) \]
    4. Taylor expanded in s around inf

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\color{blue}{\left(\left(2 + -8 \cdot \frac{\frac{1}{4} \cdot \mathsf{PI}\left(\right) + \frac{1}{2} \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)\right)}{s}\right) - \frac{-1}{4} \cdot \frac{4 \cdot \mathsf{PI}\left(\right) + 8 \cdot \mathsf{PI}\left(\right)}{s}\right)} - 1\right) \]
    5. Step-by-step derivation
      1. cancel-sign-sub-invN/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\color{blue}{\left(\left(2 + -8 \cdot \frac{\frac{1}{4} \cdot \mathsf{PI}\left(\right) + \frac{1}{2} \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)\right)}{s}\right) + \left(\mathsf{neg}\left(\frac{-1}{4}\right)\right) \cdot \frac{4 \cdot \mathsf{PI}\left(\right) + 8 \cdot \mathsf{PI}\left(\right)}{s}\right)} - 1\right) \]
      2. lower-+.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\color{blue}{\left(\left(2 + -8 \cdot \frac{\frac{1}{4} \cdot \mathsf{PI}\left(\right) + \frac{1}{2} \cdot \left(u \cdot \left(\frac{1}{4} \cdot \mathsf{PI}\left(\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)\right)}{s}\right) + \left(\mathsf{neg}\left(\frac{-1}{4}\right)\right) \cdot \frac{4 \cdot \mathsf{PI}\left(\right) + 8 \cdot \mathsf{PI}\left(\right)}{s}\right)} - 1\right) \]
    6. Applied rewrites20.3%

      \[\leadsto \left(-s\right) \cdot \log \left(\color{blue}{\left(\mathsf{fma}\left(-8, \frac{\mathsf{fma}\left(0.5, u \cdot \left(\mathsf{PI}\left(\right) \cdot 0.5\right), \mathsf{PI}\left(\right) \cdot 0.25\right)}{s}, 2\right) + 0.25 \cdot \frac{\mathsf{PI}\left(\right) \cdot 12}{s}\right)} - 1\right) \]
    7. Final simplification20.3%

      \[\leadsto \left(-s\right) \cdot \log \left(-1 + \left(\mathsf{fma}\left(-8, \frac{\mathsf{fma}\left(0.5, u \cdot \left(\mathsf{PI}\left(\right) \cdot 0.5\right), \mathsf{PI}\left(\right) \cdot 0.25\right)}{s}, 2\right) + 0.25 \cdot \frac{\mathsf{PI}\left(\right) \cdot 12}{s}\right)\right) \]
    8. Add Preprocessing

    Alternative 12: 12.0% accurate, 3.4× speedup?

    \[\begin{array}{l} \\ \left(-s\right) \cdot \log \left(1 + \mathsf{fma}\left(0.5, \frac{\left(u \cdot \mathsf{PI}\left(\right)\right) \cdot -4}{s}, \frac{\mathsf{PI}\left(\right)}{s}\right)\right) \end{array} \]
    (FPCore (u s)
     :precision binary32
     (* (- s) (log (+ 1.0 (fma 0.5 (/ (* (* u (PI)) -4.0) s) (/ (PI) s))))))
    \begin{array}{l}
    
    \\
    \left(-s\right) \cdot \log \left(1 + \mathsf{fma}\left(0.5, \frac{\left(u \cdot \mathsf{PI}\left(\right)\right) \cdot -4}{s}, \frac{\mathsf{PI}\left(\right)}{s}\right)\right)
    \end{array}
    
    Derivation
    1. Initial program 99.0%

      \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    2. Add Preprocessing
    3. Taylor expanded in s around -inf

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{2} + -1 \cdot \frac{u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)}{s}}} - 1\right) \]
    4. Step-by-step derivation
      1. lower-+.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{2} + -1 \cdot \frac{u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)}{s}}} - 1\right) \]
      2. associate-*r/N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{1}{2} + \color{blue}{\frac{-1 \cdot \left(u \cdot \left(\frac{-1}{4} \cdot \mathsf{PI}\left(\right) - \frac{1}{4} \cdot \mathsf{PI}\left(\right)\right) - \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}{s}}} - 1\right) \]
    5. Applied rewrites0.6%

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{0.5 + \frac{\mathsf{fma}\left(\mathsf{PI}\left(\right), -0.25, u \cdot \left(\mathsf{PI}\left(\right) \cdot 0.5\right)\right)}{s}}} - 1\right) \]
    6. Taylor expanded in s around 0

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{\frac{-1}{4} \cdot \mathsf{PI}\left(\right) + \left(\frac{1}{2} \cdot s + \frac{1}{2} \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)\right)}{s}}} - 1\right) \]
    7. Step-by-step derivation
      1. lower-/.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{\frac{-1}{4} \cdot \mathsf{PI}\left(\right) + \left(\frac{1}{2} \cdot s + \frac{1}{2} \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)\right)}{s}}} - 1\right) \]
      2. +-commutativeN/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{\color{blue}{\left(\frac{1}{2} \cdot s + \frac{1}{2} \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)\right) + \frac{-1}{4} \cdot \mathsf{PI}\left(\right)}}{s}} - 1\right) \]
      3. distribute-lft-outN/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{\color{blue}{\frac{1}{2} \cdot \left(s + u \cdot \mathsf{PI}\left(\right)\right)} + \frac{-1}{4} \cdot \mathsf{PI}\left(\right)}{s}} - 1\right) \]
      4. lower-fma.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{\color{blue}{\mathsf{fma}\left(\frac{1}{2}, s + u \cdot \mathsf{PI}\left(\right), \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}}{s}} - 1\right) \]
      5. lower-+.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{\mathsf{fma}\left(\frac{1}{2}, \color{blue}{s + u \cdot \mathsf{PI}\left(\right)}, \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}{s}} - 1\right) \]
      6. *-commutativeN/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{\mathsf{fma}\left(\frac{1}{2}, s + \color{blue}{\mathsf{PI}\left(\right) \cdot u}, \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}{s}} - 1\right) \]
      7. lower-*.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{\mathsf{fma}\left(\frac{1}{2}, s + \color{blue}{\mathsf{PI}\left(\right) \cdot u}, \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}{s}} - 1\right) \]
      8. lower-PI.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{\mathsf{fma}\left(\frac{1}{2}, s + \color{blue}{\mathsf{PI}\left(\right)} \cdot u, \frac{-1}{4} \cdot \mathsf{PI}\left(\right)\right)}{s}} - 1\right) \]
      9. *-commutativeN/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{\mathsf{fma}\left(\frac{1}{2}, s + \mathsf{PI}\left(\right) \cdot u, \color{blue}{\mathsf{PI}\left(\right) \cdot \frac{-1}{4}}\right)}{s}} - 1\right) \]
      10. lower-*.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(\frac{1}{\frac{\mathsf{fma}\left(\frac{1}{2}, s + \mathsf{PI}\left(\right) \cdot u, \color{blue}{\mathsf{PI}\left(\right) \cdot \frac{-1}{4}}\right)}{s}} - 1\right) \]
      11. lower-PI.f32-0.0

        \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\frac{\mathsf{fma}\left(0.5, s + \mathsf{PI}\left(\right) \cdot u, \color{blue}{\mathsf{PI}\left(\right)} \cdot -0.25\right)}{s}} - 1\right) \]
    8. Applied rewrites-0.0%

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{\mathsf{fma}\left(0.5, s + \mathsf{PI}\left(\right) \cdot u, \mathsf{PI}\left(\right) \cdot -0.25\right)}{s}}} - 1\right) \]
    9. Applied rewrites0.0%

      \[\leadsto \left(-s\right) \cdot \log \left(\color{blue}{\frac{s}{\mathsf{fma}\left(0.25, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right) \cdot \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), -\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot 0.0625\right)} \cdot \mathsf{fma}\left(0.5, \mathsf{fma}\left(u, \mathsf{PI}\left(\right), s\right), 0.25 \cdot \mathsf{PI}\left(\right)\right)} - 1\right) \]
    10. Taylor expanded in s around inf

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \color{blue}{\left(1 + \left(\frac{1}{2} \cdot \frac{4 \cdot \left(u \cdot \mathsf{PI}\left(\right)\right) - 8 \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)}{s} + \frac{\mathsf{PI}\left(\right)}{s}\right)\right)} \]
    11. Step-by-step derivation
      1. lower-+.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \color{blue}{\left(1 + \left(\frac{1}{2} \cdot \frac{4 \cdot \left(u \cdot \mathsf{PI}\left(\right)\right) - 8 \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)}{s} + \frac{\mathsf{PI}\left(\right)}{s}\right)\right)} \]
      2. lower-fma.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(1 + \color{blue}{\mathsf{fma}\left(\frac{1}{2}, \frac{4 \cdot \left(u \cdot \mathsf{PI}\left(\right)\right) - 8 \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)}{s}, \frac{\mathsf{PI}\left(\right)}{s}\right)}\right) \]
      3. lower-/.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(1 + \mathsf{fma}\left(\frac{1}{2}, \color{blue}{\frac{4 \cdot \left(u \cdot \mathsf{PI}\left(\right)\right) - 8 \cdot \left(u \cdot \mathsf{PI}\left(\right)\right)}{s}}, \frac{\mathsf{PI}\left(\right)}{s}\right)\right) \]
      4. distribute-rgt-out--N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(1 + \mathsf{fma}\left(\frac{1}{2}, \frac{\color{blue}{\left(u \cdot \mathsf{PI}\left(\right)\right) \cdot \left(4 - 8\right)}}{s}, \frac{\mathsf{PI}\left(\right)}{s}\right)\right) \]
      5. metadata-evalN/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(1 + \mathsf{fma}\left(\frac{1}{2}, \frac{\left(u \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{-4}}{s}, \frac{\mathsf{PI}\left(\right)}{s}\right)\right) \]
      6. lower-*.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(1 + \mathsf{fma}\left(\frac{1}{2}, \frac{\color{blue}{\left(u \cdot \mathsf{PI}\left(\right)\right) \cdot -4}}{s}, \frac{\mathsf{PI}\left(\right)}{s}\right)\right) \]
      7. lower-*.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(1 + \mathsf{fma}\left(\frac{1}{2}, \frac{\color{blue}{\left(u \cdot \mathsf{PI}\left(\right)\right)} \cdot -4}{s}, \frac{\mathsf{PI}\left(\right)}{s}\right)\right) \]
      8. lower-PI.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(1 + \mathsf{fma}\left(\frac{1}{2}, \frac{\left(u \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot -4}{s}, \frac{\mathsf{PI}\left(\right)}{s}\right)\right) \]
      9. lower-/.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \log \left(1 + \mathsf{fma}\left(\frac{1}{2}, \frac{\left(u \cdot \mathsf{PI}\left(\right)\right) \cdot -4}{s}, \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}}\right)\right) \]
      10. lower-PI.f3216.7

        \[\leadsto \left(-s\right) \cdot \log \left(1 + \mathsf{fma}\left(0.5, \frac{\left(u \cdot \mathsf{PI}\left(\right)\right) \cdot -4}{s}, \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s}\right)\right) \]
    12. Applied rewrites16.8%

      \[\leadsto \left(-s\right) \cdot \log \color{blue}{\left(1 + \mathsf{fma}\left(0.5, \frac{\left(u \cdot \mathsf{PI}\left(\right)\right) \cdot -4}{s}, \frac{\mathsf{PI}\left(\right)}{s}\right)\right)} \]
    13. Add Preprocessing

    Alternative 13: 14.1% accurate, 11.3× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := s \cdot \mathsf{PI}\left(\right)\\ \frac{\frac{t\_0 \cdot t\_0}{\left(-s\right) \cdot \mathsf{PI}\left(\right)}}{s} \end{array} \end{array} \]
    (FPCore (u s)
     :precision binary32
     (let* ((t_0 (* s (PI)))) (/ (/ (* t_0 t_0) (* (- s) (PI))) s)))
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    t_0 := s \cdot \mathsf{PI}\left(\right)\\
    \frac{\frac{t\_0 \cdot t\_0}{\left(-s\right) \cdot \mathsf{PI}\left(\right)}}{s}
    \end{array}
    \end{array}
    
    Derivation
    1. Initial program 99.0%

      \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    2. Add Preprocessing
    3. Applied rewrites98.9%

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{\frac{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{2} + \frac{\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} - u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}}{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{3} + {\left(1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)}^{-3}}}}} - 1\right) \]
    4. Taylor expanded in u around 0

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
    5. Step-by-step derivation
      1. lower-/.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
      2. lower-PI.f3211.3

        \[\leadsto \left(-s\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s} \]
    6. Applied rewrites11.3%

      \[\leadsto \left(-s\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
    7. Step-by-step derivation
      1. lift-neg.f32N/A

        \[\leadsto \color{blue}{\left(\mathsf{neg}\left(s\right)\right)} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
      2. lift-PI.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s} \]
      3. associate-*r/N/A

        \[\leadsto \color{blue}{\frac{\left(\mathsf{neg}\left(s\right)\right) \cdot \mathsf{PI}\left(\right)}{s}} \]
      4. lower-/.f32N/A

        \[\leadsto \color{blue}{\frac{\left(\mathsf{neg}\left(s\right)\right) \cdot \mathsf{PI}\left(\right)}{s}} \]
      5. lift-neg.f32N/A

        \[\leadsto \frac{\color{blue}{\left(\mathsf{neg}\left(s\right)\right)} \cdot \mathsf{PI}\left(\right)}{s} \]
      6. distribute-lft-neg-outN/A

        \[\leadsto \frac{\color{blue}{\mathsf{neg}\left(s \cdot \mathsf{PI}\left(\right)\right)}}{s} \]
      7. lower-neg.f32N/A

        \[\leadsto \frac{\color{blue}{\mathsf{neg}\left(s \cdot \mathsf{PI}\left(\right)\right)}}{s} \]
      8. lower-*.f3211.3

        \[\leadsto \frac{-\color{blue}{s \cdot \mathsf{PI}\left(\right)}}{s} \]
    8. Applied rewrites11.3%

      \[\leadsto \color{blue}{\frac{-s \cdot \mathsf{PI}\left(\right)}{s}} \]
    9. Step-by-step derivation
      1. lift-PI.f32N/A

        \[\leadsto \frac{\mathsf{neg}\left(s \cdot \color{blue}{\mathsf{PI}\left(\right)}\right)}{s} \]
      2. lift-*.f32N/A

        \[\leadsto \frac{\mathsf{neg}\left(\color{blue}{s \cdot \mathsf{PI}\left(\right)}\right)}{s} \]
      3. neg-sub0N/A

        \[\leadsto \frac{\color{blue}{0 - s \cdot \mathsf{PI}\left(\right)}}{s} \]
      4. flip--N/A

        \[\leadsto \frac{\color{blue}{\frac{0 \cdot 0 - \left(s \cdot \mathsf{PI}\left(\right)\right) \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)}{0 + s \cdot \mathsf{PI}\left(\right)}}}{s} \]
      5. lower-/.f32N/A

        \[\leadsto \frac{\color{blue}{\frac{0 \cdot 0 - \left(s \cdot \mathsf{PI}\left(\right)\right) \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)}{0 + s \cdot \mathsf{PI}\left(\right)}}}{s} \]
      6. metadata-evalN/A

        \[\leadsto \frac{\frac{\color{blue}{0} - \left(s \cdot \mathsf{PI}\left(\right)\right) \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)}{0 + s \cdot \mathsf{PI}\left(\right)}}{s} \]
      7. lower--.f32N/A

        \[\leadsto \frac{\frac{\color{blue}{0 - \left(s \cdot \mathsf{PI}\left(\right)\right) \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)}}{0 + s \cdot \mathsf{PI}\left(\right)}}{s} \]
      8. lower-*.f32N/A

        \[\leadsto \frac{\frac{0 - \color{blue}{\left(s \cdot \mathsf{PI}\left(\right)\right) \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)}}{0 + s \cdot \mathsf{PI}\left(\right)}}{s} \]
      9. lower-+.f3214.3

        \[\leadsto \frac{\frac{0 - \left(s \cdot \mathsf{PI}\left(\right)\right) \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)}{\color{blue}{0 + s \cdot \mathsf{PI}\left(\right)}}}{s} \]
    10. Applied rewrites14.3%

      \[\leadsto \frac{\color{blue}{\frac{0 - \left(s \cdot \mathsf{PI}\left(\right)\right) \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)}{0 + s \cdot \mathsf{PI}\left(\right)}}}{s} \]
    11. Final simplification14.3%

      \[\leadsto \frac{\frac{\left(s \cdot \mathsf{PI}\left(\right)\right) \cdot \left(s \cdot \mathsf{PI}\left(\right)\right)}{\left(-s\right) \cdot \mathsf{PI}\left(\right)}}{s} \]
    12. Add Preprocessing

    Alternative 14: 13.9% accurate, 13.4× speedup?

    \[\begin{array}{l} \\ \frac{\mathsf{PI}\left(\right)}{s} \cdot \left(\left(s \cdot s\right) \cdot \frac{-1}{s}\right) \end{array} \]
    (FPCore (u s) :precision binary32 (* (/ (PI) s) (* (* s s) (/ -1.0 s))))
    \begin{array}{l}
    
    \\
    \frac{\mathsf{PI}\left(\right)}{s} \cdot \left(\left(s \cdot s\right) \cdot \frac{-1}{s}\right)
    \end{array}
    
    Derivation
    1. Initial program 99.0%

      \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    2. Add Preprocessing
    3. Applied rewrites98.9%

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{\frac{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{2} + \frac{\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} - u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}}{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{3} + {\left(1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)}^{-3}}}}} - 1\right) \]
    4. Taylor expanded in u around 0

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
    5. Step-by-step derivation
      1. lower-/.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
      2. lower-PI.f3211.3

        \[\leadsto \left(-s\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s} \]
    6. Applied rewrites11.3%

      \[\leadsto \left(-s\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
    7. Applied rewrites14.0%

      \[\leadsto \color{blue}{\left(\left(s \cdot s\right) \cdot \frac{-1}{s}\right)} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
    8. Final simplification14.0%

      \[\leadsto \frac{\mathsf{PI}\left(\right)}{s} \cdot \left(\left(s \cdot s\right) \cdot \frac{-1}{s}\right) \]
    9. Add Preprocessing

    Alternative 15: 13.9% accurate, 14.6× speedup?

    \[\begin{array}{l} \\ \frac{\mathsf{PI}\left(\right)}{-s} \cdot \frac{s \cdot s}{s} \end{array} \]
    (FPCore (u s) :precision binary32 (* (/ (PI) (- s)) (/ (* s s) s)))
    \begin{array}{l}
    
    \\
    \frac{\mathsf{PI}\left(\right)}{-s} \cdot \frac{s \cdot s}{s}
    \end{array}
    
    Derivation
    1. Initial program 99.0%

      \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    2. Add Preprocessing
    3. Applied rewrites98.9%

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{\frac{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{2} + \frac{\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} - u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}}{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{3} + {\left(1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)}^{-3}}}}} - 1\right) \]
    4. Taylor expanded in u around 0

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
    5. Step-by-step derivation
      1. lower-/.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
      2. lower-PI.f3211.3

        \[\leadsto \left(-s\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s} \]
    6. Applied rewrites11.3%

      \[\leadsto \left(-s\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
    7. Step-by-step derivation
      1. lift-neg.f3211.3

        \[\leadsto \color{blue}{\left(-s\right)} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
      2. --rgt-identityN/A

        \[\leadsto \color{blue}{\left(\left(\mathsf{neg}\left(s\right)\right) - 0\right)} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
      3. flip--N/A

        \[\leadsto \color{blue}{\frac{\left(\mathsf{neg}\left(s\right)\right) \cdot \left(\mathsf{neg}\left(s\right)\right) - 0 \cdot 0}{\left(\mathsf{neg}\left(s\right)\right) + 0}} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
      4. lift-*.f32N/A

        \[\leadsto \frac{\color{blue}{\left(\mathsf{neg}\left(s\right)\right) \cdot \left(\mathsf{neg}\left(s\right)\right)} - 0 \cdot 0}{\left(\mathsf{neg}\left(s\right)\right) + 0} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
      5. metadata-evalN/A

        \[\leadsto \frac{\left(\mathsf{neg}\left(s\right)\right) \cdot \left(\mathsf{neg}\left(s\right)\right) - \color{blue}{0}}{\left(\mathsf{neg}\left(s\right)\right) + 0} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
      6. --rgt-identityN/A

        \[\leadsto \frac{\color{blue}{\left(\mathsf{neg}\left(s\right)\right) \cdot \left(\mathsf{neg}\left(s\right)\right)}}{\left(\mathsf{neg}\left(s\right)\right) + 0} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
      7. metadata-evalN/A

        \[\leadsto \frac{\left(\mathsf{neg}\left(s\right)\right) \cdot \left(\mathsf{neg}\left(s\right)\right)}{\left(\mathsf{neg}\left(s\right)\right) + \color{blue}{\left(\mathsf{neg}\left(0\right)\right)}} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
      8. sub-negN/A

        \[\leadsto \frac{\left(\mathsf{neg}\left(s\right)\right) \cdot \left(\mathsf{neg}\left(s\right)\right)}{\color{blue}{\left(\mathsf{neg}\left(s\right)\right) - 0}} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
      9. --rgt-identityN/A

        \[\leadsto \frac{\left(\mathsf{neg}\left(s\right)\right) \cdot \left(\mathsf{neg}\left(s\right)\right)}{\color{blue}{\mathsf{neg}\left(s\right)}} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
      10. lower-/.f3214.0

        \[\leadsto \color{blue}{\frac{\left(-s\right) \cdot \left(-s\right)}{-s}} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
      11. lift-*.f32N/A

        \[\leadsto \frac{\color{blue}{\left(\mathsf{neg}\left(s\right)\right) \cdot \left(\mathsf{neg}\left(s\right)\right)}}{\mathsf{neg}\left(s\right)} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
      12. lift-neg.f32N/A

        \[\leadsto \frac{\color{blue}{\left(\mathsf{neg}\left(s\right)\right)} \cdot \left(\mathsf{neg}\left(s\right)\right)}{\mathsf{neg}\left(s\right)} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
      13. lift-neg.f32N/A

        \[\leadsto \frac{\left(\mathsf{neg}\left(s\right)\right) \cdot \color{blue}{\left(\mathsf{neg}\left(s\right)\right)}}{\mathsf{neg}\left(s\right)} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
      14. sqr-negN/A

        \[\leadsto \frac{\color{blue}{s \cdot s}}{\mathsf{neg}\left(s\right)} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
      15. lift-*.f3214.0

        \[\leadsto \frac{\color{blue}{s \cdot s}}{-s} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
    8. Applied rewrites14.0%

      \[\leadsto \color{blue}{\frac{s \cdot s}{-s}} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
    9. Final simplification14.0%

      \[\leadsto \frac{\mathsf{PI}\left(\right)}{-s} \cdot \frac{s \cdot s}{s} \]
    10. Add Preprocessing

    Alternative 16: 11.4% accurate, 26.8× speedup?

    \[\begin{array}{l} \\ \frac{s \cdot \mathsf{PI}\left(\right)}{-s} \end{array} \]
    (FPCore (u s) :precision binary32 (/ (* s (PI)) (- s)))
    \begin{array}{l}
    
    \\
    \frac{s \cdot \mathsf{PI}\left(\right)}{-s}
    \end{array}
    
    Derivation
    1. Initial program 99.0%

      \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    2. Add Preprocessing
    3. Applied rewrites98.9%

      \[\leadsto \left(-s\right) \cdot \log \left(\frac{1}{\color{blue}{\frac{1}{\frac{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{2} + \frac{\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}} - u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}}{{\left(u \cdot \left(\frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{-s}}} + \frac{-1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right)\right)}^{3} + {\left(1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}\right)}^{-3}}}}} - 1\right) \]
    4. Taylor expanded in u around 0

      \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
    5. Step-by-step derivation
      1. lower-/.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
      2. lower-PI.f3211.3

        \[\leadsto \left(-s\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s} \]
    6. Applied rewrites11.3%

      \[\leadsto \left(-s\right) \cdot \color{blue}{\frac{\mathsf{PI}\left(\right)}{s}} \]
    7. Step-by-step derivation
      1. lift-neg.f32N/A

        \[\leadsto \color{blue}{\left(\mathsf{neg}\left(s\right)\right)} \cdot \frac{\mathsf{PI}\left(\right)}{s} \]
      2. lift-PI.f32N/A

        \[\leadsto \left(\mathsf{neg}\left(s\right)\right) \cdot \frac{\color{blue}{\mathsf{PI}\left(\right)}}{s} \]
      3. associate-*r/N/A

        \[\leadsto \color{blue}{\frac{\left(\mathsf{neg}\left(s\right)\right) \cdot \mathsf{PI}\left(\right)}{s}} \]
      4. lower-/.f32N/A

        \[\leadsto \color{blue}{\frac{\left(\mathsf{neg}\left(s\right)\right) \cdot \mathsf{PI}\left(\right)}{s}} \]
      5. lift-neg.f32N/A

        \[\leadsto \frac{\color{blue}{\left(\mathsf{neg}\left(s\right)\right)} \cdot \mathsf{PI}\left(\right)}{s} \]
      6. distribute-lft-neg-outN/A

        \[\leadsto \frac{\color{blue}{\mathsf{neg}\left(s \cdot \mathsf{PI}\left(\right)\right)}}{s} \]
      7. lower-neg.f32N/A

        \[\leadsto \frac{\color{blue}{\mathsf{neg}\left(s \cdot \mathsf{PI}\left(\right)\right)}}{s} \]
      8. lower-*.f3211.3

        \[\leadsto \frac{-\color{blue}{s \cdot \mathsf{PI}\left(\right)}}{s} \]
    8. Applied rewrites11.3%

      \[\leadsto \color{blue}{\frac{-s \cdot \mathsf{PI}\left(\right)}{s}} \]
    9. Final simplification11.3%

      \[\leadsto \frac{s \cdot \mathsf{PI}\left(\right)}{-s} \]
    10. Add Preprocessing

    Alternative 17: 11.4% accurate, 170.0× speedup?

    \[\begin{array}{l} \\ -\mathsf{PI}\left(\right) \end{array} \]
    (FPCore (u s) :precision binary32 (- (PI)))
    \begin{array}{l}
    
    \\
    -\mathsf{PI}\left(\right)
    \end{array}
    
    Derivation
    1. Initial program 99.0%

      \[\left(-s\right) \cdot \log \left(\frac{1}{u \cdot \left(\frac{1}{1 + e^{\frac{-\mathsf{PI}\left(\right)}{s}}} - \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}\right) + \frac{1}{1 + e^{\frac{\mathsf{PI}\left(\right)}{s}}}} - 1\right) \]
    2. Add Preprocessing
    3. Taylor expanded in u around 0

      \[\leadsto \color{blue}{-1 \cdot \mathsf{PI}\left(\right)} \]
    4. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)} \]
      2. lower-neg.f32N/A

        \[\leadsto \color{blue}{\mathsf{neg}\left(\mathsf{PI}\left(\right)\right)} \]
      3. lower-PI.f3211.3

        \[\leadsto -\color{blue}{\mathsf{PI}\left(\right)} \]
    5. Applied rewrites11.3%

      \[\leadsto \color{blue}{-\mathsf{PI}\left(\right)} \]
    6. Add Preprocessing

    Reproduce

    ?
    herbie shell --seed 2024216 
    (FPCore (u s)
      :name "Sample trimmed logistic on [-pi, pi]"
      :precision binary32
      :pre (and (and (<= 2.328306437e-10 u) (<= u 1.0)) (and (<= 0.0 s) (<= s 1.0651631)))
      (* (- s) (log (- (/ 1.0 (+ (* u (- (/ 1.0 (+ 1.0 (exp (/ (- (PI)) s)))) (/ 1.0 (+ 1.0 (exp (/ (PI) s)))))) (/ 1.0 (+ 1.0 (exp (/ (PI) s)))))) 1.0))))